A. W. Jayawardena

发表

Improving Ann‐Based Short‐Term and Long‐Term Seasonal River Flow Forecasting with Signal Processing Techniques

Honey Badrzadeh, Ranjan Sarukkalige, A. W. Jayawardena, 2016 .

Fuzzy logic approach of hydrological modelling

A. W. Jayawardena, 2014 .

Sediment transport phenomenon in rivers: an alternative perspective

A. W. Jayawardena, Bellie Sivakumar, B. Sivakumar, 2003, Environ. Model. Softw..

Structure selection of neurofuzzy networks based on support vector regression

Christopher J. Harris, C. W. Chan, A. W. Jayawardena, 2002, Int. J. Syst. Sci..

MATHEMATICAL AND EXPERIMENTAL MODELLING OF SOME ENVIRONMENTAL PROBLEMS.

A. W. Jayawardena, Joseph H.W. Lee, Ken T. Chan, 1987 .

Comment on ‘Comparative application of artificial nueral networks and genetic algorithms for multivariate time-series modelling of algal blooms in freshwater lakes’

A. W. Jayawardena, Joseph H.W. Lee, Y. Huang, 2003 .

Intermittent stream flow forecasting and modelling with hybrid wavelet neuro-fuzzy model

Honey Badrzadeh, Ranjan Sarukkalige, A. W. Jayawardena, 2018 .

Use of Radial Basis Function Type Artificial Neural Networks for Runoff Simulation

A. W. Jayawardena, D. Achela K. Fernando, A. Jayawardena, 1998 .

Evolutionary product unit based neural networks for hydrological time series analysis

Dulakshi Santhusitha Kumari Karunasingha, A. W. Jayawardena, D. S. K. Karunasingha, 2011 .

Hydro-meteorological Disasters: Causes, Effects and Mitigation Measures with Special Reference to Early Warning with Data Driven Approaches of Forecasting☆

A. W. Jayawardena, A. Jayawardena, A. W. Jayawardena, 2015 .

Riverflow Prediction with Artificial Neural Networks

A. W. Jayawardena, A. Jayawardena, 2009, EANN.

Comparison of Multilayer Perceptron and radial Basis Function networks as tools for flood forecasting

A. W. Jayawardena, D. A. K. Fernando, M. C. Zhou, 1996 .

Comment on 'Comparative application of artificial neural networks and genetic algorithms for multivariate time-series modelling of algal blooms in freshwater lakes (by Recknagal F. et al)

Yong-Huai Huang, A. W. Jayawardena, Jhw Lee, 2003 .

Stochastic vs. deterministic approaches of modelling hydrological time series

A. W. Jayawardena, 2020 .

Impact of multi-resolution analysis of artificial intelligence models inputs on multi-step ahead river flow forecasting

Honey Badrzadeh, Ranjan Sarukkalige, A. W. Jayawardena, 2013 .

Hourly runoff forecasting for flood risk management: Application of various computational intelligence models

Honey Badrzadeh, Ranjan Sarukkalige, A. W. Jayawardena, 2015 .

River flow forecasting: use of phase-space reconstruction and artificial neural networks approaches

Bellie Sivakumar, A. W. Jayawardena, T.M.K.G. Fernando, 2002 .

Noise Level Estimation for a Chaotic Time Series

Pengcheng Xu, A. W. Jayawardena, W. K. Li, 2012, Int. J. Bifurc. Chaos.

Model selection for RBF network via generalized degree of freedom

Pengcheng Xu, A. W. Jayawardena, W. K. Li, 2013, Neurocomputing.